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Typeface

Generative AI for brand-consistent content

Senior Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USA

About the Job

Requirements

  • A Master’s or PhD degree in Computer Science or a related field is required.
  • Experience building and evolving machine learning training and inferencing systems at significant scale to solve real-world problems is required.
  • At least 5 years of experience designing, building, and scaling systems for training, testing, and running machine learning models at scale is required.
  • A track record of developing new machine learning ideas or improving existing ideas, demonstrated through accomplishments such as first-author publications or projects, is required.
  • Proficiency in Python and C/C++ or an equivalent language is required.
  • Ability to create self-contained, reusable, and testable modules is required.
  • Prior experience with Azure Machine Learning, Google Cloud Vertex AI, Amazon SageMaker, or similar platforms is required.

Responsibilities

  • Build machine learning models and systems, as well as web applications that deliver generative AI capabilities to customers.
  • Define the roadmap for generating text, image, audio, and video content that is brand-affinized, hyper-personalized, and safe.
  • Own delivery of business, product, and technology initiatives across design, specification, development, testing, and launch.
  • Establish and implement processes for training, fine-tuning, testing, and operating generative AI models at significant scale.
  • Investigate, prototype, and deliver innovative solutions.
  • Collaborate with engineers and Product and Business teams to identify ways to improve the product and drive growth.
  • Drive the definition, tracking, and operationalization of feature-, product-, and company-level metrics to establish a data-driven development culture.
  • Work closely with designers, product managers, and other engineers on technical designs and implementations.

Desired Qualifications

  • Hands-on experience deploying and tuning generative AI models in the cloud or on a local system.
  • Experience working at a high-growth startup or technology company.
  • Publications and research experience in machine learning venues and/or vision or language applications.

About the Company

Typeface

Generative AI for brand-consistent content

Typeface.ai builds a generative AI platform for personalized content creation aimed at businesses. It helps teams produce more content—up to ten times faster—while keeping each piece aligned with the brand’s voice, tone, personas, and product lines. The product works by learning a brand’s style from inputs and then generating content that matches that style; it can be integrated into existing workflows through popular apps and custom rules, making it easy to insert into marketing processes. Typeface differentiates itself by offering strong brand-adaptation and workflow integration, plus a focus on data privacy to prevent leakage or misuse of client information. Its business model is subscription-based, with additional revenue from partnerships (such as Salesforce) and a recent Salesforce Marketing Cloud integration that combines capabilities from both platforms. Its goal is to help businesses scale content creation efficiently while maintaining brand consistency and privacy.

Company size
201-500
Company stage
Series B
Total funding
$165M
Headquarters
Palo Alto, CA
Founded
2022

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